Quantization, training, parasitic resistance correction, and programming techniques of memristor-crossbar neural networks for edge intelligence.
Tien Van NguyenJiyong AnSeokjin OhSon Ngoc TruongKyeong-Sik MinPublished in: Neuromorph. Comput. Eng. (2022)
Keyphrases
- neural network
- training process
- training algorithm
- subject matter experts
- feed forward neural networks
- multi layer perceptron
- quantum mechanics
- artificial intelligence
- artificial neural networks
- feedforward neural networks
- back propagation
- training set
- backpropagation algorithm
- edge detection
- neural network model
- genetic algorithm
- hidden layer
- intelligent systems
- programming language
- training data
- recurrent neural networks
- feed forward
- quantization error
- computational intelligence